Top Hybrid Python Jobs
Join Raptor Maps as a Robotics Software Engineer to develop software for drone technologies and robotic systems in the solar energy sector. Responsibilities include building and testing software and hardware platforms, designing full stack applications, collaborating with teams, and maintaining mission planning software. Expect travel to job sites and a focus on rapid technology adoption.
As a Principal AI Engineer, you will research and implement advanced AI capabilities within the Decision Intelligence Platform. You will collaborate with a multidisciplinary team to enhance AI functionalities, enabling business users and technical teams to harness enterprise data effectively and build scalable data models.
In this role, as a Senior Software Engineer, you will develop high-velocity web and mobile products, lead projects, and work within a full-stack team to enhance our labor marketplace, ensuring successful product launch and iteration.
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Aquabyte is seeking an Embedded Software Engineer to work on the hardware and software orchestrating the hardware installed at fish farms. Responsibilities include interfacing with sensors, cameras, and networks to create robust underwater systems, designing network systems at farms, deploying software on devices, and collaborating with the machine learning team to move algorithms to the edge.
As a Perception / Machine Learning Engineer, you will apply advanced ML techniques to enhance the perception capabilities of autonomous tractors. Your role includes architecting deep learning models, optimizing them for low-latency on embedded systems, and collaborating with cross-functional teams to ensure effective deployment in rugged agricultural environments.
The Solutions Architect will partner with the sales team, engaging in technical discussions and managing relationships with prospects and customers. This role involves configuring the StackHawk scanning engine and facilitating application security testing within CI/CD pipelines to help convert prospects to customers successfully.
The ML/AI Engineer will design and implement innovative 2D and 3D models, create advanced computer vision algorithms, and work with diverse datasets using deep learning frameworks. Responsibilities include contributing to MLOps, using GIS tools, collaborating with teams, and providing mentorship while staying updated on ML advancements.
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